4.5 Article

Highly multiplexed targeted sequencing strategy for infectious disease surveillance

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BMC BIOTECHNOLOGY
卷 23, 期 1, 页码 -

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BMC
DOI: 10.1186/s12896-023-00804-7

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Molecular inversion probes (MIPs); Next generation sequencing (NGS); Infectious diseases; Diagnostics; Disease surveillance; Pathogen detection

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In this study, a cost-effective target enrichment method using molecular inversion probes (MIPs) was used to identify microbial infections from blood samples through short-read sequencing. The method showed high specificity, detecting pathogen DNA targets down to 1 in a 1000 within host DNA, and accurately surveyed pathogens and antimicrobial resistance genes in comparison to routine blood culture.
Background Global efforts to characterize diseases of poverty are hampered by lack of affordable and comprehensive detection platforms, resulting in suboptimal allocation of health care resources and inefficient disease control. Next generation sequencing (NGS) can provide accurate data and high throughput. However, shotgun and metagenome-based NGS approaches are limited by low concentrations of microbial DNA in clinical samples, requirements for tailored sample and library preparations plus extensive bioinformatics analysis. Here, we adapted molecular inversion probes (MIPs) as a cost-effective target enrichment approach to characterize microbial infections from blood samples using short-read sequencing. We designed a probe panel targeting 2 bacterial genera, 21 bacterial and 6 fungi species and 7 antimicrobial resistance markers (AMRs).Results Our approach proved to be highly specific to detect down to 1 in a 1000 pathogen DNA targets contained in host DNA. Additionally, we were able to accurately survey pathogens and AMRs in 20 out of 24 samples previously profiled with routine blood culture for sepsis.Conclusions Overall, our targeted assay identifies microbial pathogens and AMRs with high specificity at high throughput, without the need for extensive sample preparation or bioinformatics analysis, simplifying its application for characterization and surveillance of infectious diseases in medium- to low- resource settings.

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